Product language: 1. Bracelet push support language: Nearly 200 national languages in the world, pushed for global fonts. 2.APP support language: Russian, German, Italian, Japanese, French, Simplified Chinese, Traditional Chinese, Portuguese, Spanish, Arabic, Korean
Main features: multi-sports mode, weather forecast, full font, HD 0.96 color screen, dynamic 3D interface UI, heart rate monitoring, blood pressure monitoring, step counting, calories, distance, sleep monitoring, sports mode, call reminder, alarm reminder, raise hand Bright screen, social sharing (WeChat, QQ, Facebook, Twitter) and other shake photos, two-way search.
Basic parameters:
Main control chip: RLC8762
Sensor: BST-BMA253
Photoelectric chip: Yiguang
Vibration: Silence / Vibration
Waterproof level: IP67
Compatible systems: Android 4.4 and above, iOS 8.2 and above
Features: blood pressure, heart rate, multiple sports mode, weather forecast
Display:
Screen size: 0.96 inches HD color screen TFT 80*160
Screen type: TFT
Other parameters:
Bluetooth: 4.2BLE (low power consumption)
Battery type: polymer lithium battery
Battery capacity: 105mAh
Charging method: clip
Charging time: about 2H
Life time: 5-10 days, 20-30 days of standby (depending on the frequency of use and the frequency of push content)
Data storage: 3 months
Control mode: full touch control, mobile APP control
Appearance material: front shell: PC middle frame alloyback shell: ABS+PC strap: stainless steel metal strap
package:
Packing list: bracelet, charging cable, instruction manual, packing box
Bare metal weight: 33g (including silicone strap)
Bracelet size: (length 23.0 * width 2.1 * thickness 1.16) cm
Main features: environmentally friendly liquid silicone strap metal appearance, sticking to the hand with no sense of wear, offline measurement of the wrist automatically bright screen, wearable hardware + smart APP + big data cloud service, wearable, through the APP control, display, record, Data is synchronized to the cloud in real time, and physical health changes are monitored, health data is detected, risk status and assessment results are displayed
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